01 · Challenge
A regional logistics operator planned routes manually each morning. Static plans could not adapt to traffic, weather, or last-minute order changes, leading to overtime, missed windows, and excess fuel consumption.
02 · Approach
We built an AutopilotX optimization agent that ingests order data, vehicle capacity, live traffic feeds, and fuel pricing. It generates and continuously refines multi-stop routes, with human dispatchers approving or overriding via a dashboard.
03 · Outcome
Fuel costs and overtime hours decreased while on-time delivery improved. Dispatchers spend less time on manual planning and more on exception handling.
Next case study
The 24/7 Virtual Concierge